Software Engineering

Advanced Data Engineer DEN Role Overview • Role: Lead Data Engineer — Snowflake / DBT / AWS • Seniority Level: Lead (8+ years of experience) • Core Mission: Drive the development of Commercial Data Products within the enterprise Common Data Platform (CDP), supporting advanced analytical data products, feature datasets, and machine learning pipelines. Key Responsibilities • Data Modeling & Transformations: Implement advanced DBT transformations and Snowflake models to query, shape, and structure data for analytical consumption. • Pipeline Development: Build robust ingestion pipelines and ETL workflows using AWS data services (Lambda, S3, Glue, Step Functions). • Code & SQL Optimization: Write and optimize complex SQL and Python code (PySpark where needed) for high-performance data processing. • API Integration: Integrate API and external data sources, ensuring robust error handling, retries, and secure connectivity. • ML & Feature Support: Build and maintain feature datasets and views in Snowflake that feed analytics workflows (such as Dataiku), and collaborate with Data Science teams around Feature Store management. • Quality & Operations: Create comprehensive testing, monitoring, runbooks, and CI/CD pipelines for production-grade data assets. • Cross-Functional Collaboration: Partner closely with Data Science, product, delivery, and BI teams to support reporting and analytical needs. Must-Have Requirements & Skills • Experience: Minimum 8+ years of professional experience in Data Engineering. • Core Technologies: Hands-on expertise with DBT and Snowflake. • Programming: Strong programming skills in Python and SQL (PySpark preferred). • Cloud & Ingestion: Practical AWS data services experience (Lambda, S3, Glue, Step Functions) and experience with API-based data ingestion. • Pipelines & MLOps Support: Proven experience building production data pipelines, data modeling, testing, monitoring, and CI/CD. • Environment: Comfortable working in governed enterprise environments. Nice-to-Have / Preferred Skills • Knowledge of the commercial domain within the pharmaceutical or life sciences industry (healthcare, claims, HCP, patient support, or Veeva data experience).

Product Success Lead Location: London, 83 Victoria Street (4 days a week in the office, 1 day from home), plus agents' offices for go-lives | Full-time, permanent | Competitive salary and equity | Reports to: a co-founder About LightWork AI LightWork AI builds Felicity, the AI front desk for UK letting and estate agents. She answers every call, email and message 24/7, qualifies leads and takes viewing requests, triages maintenance, and handles around 90% of that work on her own. We are live and generating revenue with agencies across the UK. Roughly half of those enquiries arrive out of hours, when the branch is shut and the lead goes to whoever answers first. Felicity answers in under 20 seconds. The Role We are hiring one technically trained owner for every customer after the sale. You get each agency live, prove Felicity's value in the agency's own numbers, and turn what customers run into into fixes that product and engineering can ship. Most of the risk with our customers is technical: an agency that isn't fully connected, or a Felicity that has handled nothing in 14 days, needs someone who can open the logs and fix the cause, not just report it. A trial that ends without the agency paying is a lost customer. You start as an individual contributor with no direct reports and a weekly one-to-one with your co-founder manager. Sales (one lead for independent agencies, one for groups) closes the deal and owns pricing. You take it from signed agreement to first live enquiry, then keep the account. You are organised, calm with a frustrated agency owner, clear with people who aren't technical, and you ask for feedback and use it. What Good Looks Like • Month 1: you know every live account, how each one is connected and how Felicity is performing for it, and you have taken a newly signed agency towards go-live from a written handover. • Month 3: the per-branch report and at-risk alert you built in your first 60 days are trusted at the weekly review, and no trial starts without the success criteria, go-live date and price you signed off. • Month 6: branch retention and trial to paid are rising, time to go-live is falling, and anything fixed twice has become a template, a tool or a product change. Key Responsibilities When these compete for your week, this is the order. Accounts at Risk • Score every account's health every week from Felicity's own data: enquiries handled, viewing requests passed to the branch, staff picking up her handoffs, and errors. • Call at-risk accounts the same week. • Give every lost account a reason backed by the record, not a guess. Go-Live • Own each agency from signed agreement to Felicity's first live enquiry. • Join the last sales call and get a written handover: how each branch handles enquiries today, why they bought, and what was promised. LightWork AI | Product Success Lead | 1 of 3 • Connect the channels and property software (such as Alto, Street, MRI and Loop), set Felicity up the way each branch already works, and train staff on her handoffs. Trial Entry • No trial starts until the agency has agreed in writing what "working" means, the go-live date and the price afterwards. You sign that off. • Flag a poor technical fit before a deal closes. Proof of Value • Build the evidence behind each account's reviews in the agency's own numbers: enquiries caught out of hours, viewing requests from them, response times, and what that is worth in fees. • Draw every number from the logs, with each one defined. The Fix, Not Just the Ticket • Change configuration yourself, within what Felicity supports, and never write custom code into a customer's account. • Send bugs to engineering with the affected customers attached. • Rank the jobs Felicity can't yet finish by how many customers need each one, and review that list with product and engineering monthly. • Make go-lives cheaper: anything fixed twice becomes a template, a tool or a product change. Groups and Growth • Roll groups out a trial branch first, with a named champion who trains the next wave's champions; each wave starts when the last meets the agreed criteria. • Spot growth inside accounts (more branches, more channels, usage near the plan's allowance) and pass it to sales or customer success within a week. You don't set prices. • Work with the customer success team so every account has one named owner. How You're Measured Four numbers at the weekly company review, independents and groups shown separately. In your first 60 days you turn our per-branch data into a report and an alert you trust. • Branch retention (up): the share of branches paying at the start of the month that are still paying at the end. • Trial to paid (up): the share of trials ended that month that converted to a paid invoice within the trial window. • Live in 14 days (up): the share of live branches where Felicity has handled an enquiry in the last 14 days. • Time to go-live (down): median days from signed agreement to Felicity's first live enquiry. Requirements Must Have • You've shipped technical work that paying customers rely on: integrations, configuration, scripts, or AI and automation workflows. You can walk us through one, including what broke. • You've owned a customer number, such as retention, conversion or adoption. You can say where it started, what you changed, and where it ended. Also Great • Three or more years in forward-deployed, solutions or implementation engineering, technical account management or technical customer success. • A technical degree. Shipped work counts equally. LightWork AI | Product Success Lead | 2 of 3 • You already know property or property software. If you know AI but not lettings, we teach you: two weeks inside live branches with the customer success team, then go-lives alongside them before you lead one. Why Join LightWork AI • Join a small, AI-first team with a product UK agencies already use and pay for. • Own every customer after the sale, measured on four numbers that show the difference you make. • The templates and tools you build become product. • Work closely with the founders, with a weekly one-to-one with your co-founder manager. • Competitive salary plus equity; any variable pay is tied only to the four measures. • Hybrid working: 4 days a week with the team in our London office, 1 day working from home, plus agents' offices for go-lives. LightWork AI | Product Success Lead | 3 of 3

Senior Software Architect – Cloud-Native Platforms Gothenburg, Sweden – Onsite Up to 670 SEK per hour Contract until December 2027 We’re looking for an experienced Senior Software Architect to drive architectural strategy and technical excellence across enterprise cloud-native platforms. You’ll shape architectural frameworks, define technical standards and guide engineering teams in delivering secure, scalable and resilient digital solutions. Key Requirements: 8+ years’ experience in software engineering or solution architecture. Strong AWS and cloud-native architecture experience. Expertise in distributed systems, microservices, serverless and event-driven architectures. Strong knowledge of APIs, integration patterns and Domain-Driven Design (DDD). Hands-on experience with IaC tools such as Terraform, AWS CDK or CloudFormation. Understanding of DevSecOps, cloud security, governance and observability. Excellent stakeholder communication and architectural leadership skills. Experience with Platform Engineering, Internal Developer Platforms and large-scale enterprise transformations would be highly advantageous.

IT Support Specialist (On-site) About the Assignment On-site IT support on the manufacturing shop floor: handling a multitude of IT-related questions from production, participating in projects, designing and implementing solutions, exchanging hardware, and communicating and understanding the operational needs of production. The role requires native Swedish for on-site delivery and includes participating in 24/7 on-call rotations, working in close cooperation with on-site maintenance and project organizations to secure reliable production IT services. We are looking for a self-driven, proactive professional with deep knowledge of manufacturing processes and tools. Key Responsibilities • Support & Maintenance: Providing support, conducting pre-checks, and performing preventive maintenance according to service-level agreements. Managing incident, problem, knowledge, and change management processes. Executing operational changes and maintenance for infrastructure technical services and components in production environments. • Runtime Support & Troubleshooting: o Hands-on hardware support (troubleshooting, analysis, and replacement): standard and non-standard clients, network patching, and industrial IT equipment (hand scanners, industrial printers, switches, access points, Ethernet cabling, connected nut runners, and industrial applications). o End-to-end responsibility for incoming cases: driving resolution, participating in problem management, and conducting Root Cause Analysis (RCA). o Collaborating with remote support teams on printers, networks, servers, conference rooms, telephony, and infrastructure components. • Lifecycle & Asset Management: Hardware lifecycle management for factory clients (planning, deployment, installation, retirement, and recycling). Purchasing IT equipment via enterprise procurement tools (e.g., Ariba). • Security & Quality: Acting as Local Security Coordinator for IT security. Driving continuous quality improvements, participating in regular huddles/reviews, and enforcing standard equipment usage. • Projects & Initiatives: Taking part in the implementation of new systems, solutions, and one-time IT projects. Required Skills & Competencies • Core Technical Knowledge: o Solid networking knowledge (switches, access points, cabling, IP telephony, etc.). o Print infrastructure knowledge. o Client operating systems knowledge (Windows/Linux/Unix environments). o Hands-on technical knowledge across computer hardware, industrial equipment, and enterprise applications. • Professional Attributes: o Service-minded, solution-oriented, responsible, and self-leading. o Excellent communication and stakeholder management skills. • Language Requirements: o Native Swedish (written and spoken) is strictly required for on-site delivery and communication with factory staff. o Good proficiency in English (written and spoken). Must-Have Skills Summary: • On-Site Plant IT Support: Hands-on experience supporting IT infrastructure on a manufacturing shop floor (industrial printers, scanners, network switches, cabling, and client hardware). • Infrastructure & Network Knowledge: Strong background in networking, client management, print services, and troubleshooting enterprise IT components. • Service Management: Experience handling incident, problem (RCA), change, and asset lifecycle management in an operational environment. • Languages: Native Swedish (mandatory) and professional working proficiency in English. • Availability: Willingness to participate in 24/7 on-call rotations and work primarily on site.

Software Engineer | Python, Data Collection & Systems Integration Location: Cambridge, UK Contract: 12 months Working Arrangement: On-site, with work across two Cambridge locations The Opportunity We’re looking for a hands-on Software Engineer to support the development and reliability of a specialist data collection environment used for advanced technology research and prototyping. You’ll work at the intersection of software engineering, hardware integration and data processing, developing and maintaining the systems that enable experimental devices to collect accurate, reliable and high-quality data. This is an opportunity to work on technically challenging projects involving prototype hardware, distributed systems and multimodal data, collaborating with software engineers, technical specialists and researchers in a multidisciplinary environment. What You’ll Be Doing Develop and maintain Python-based software supporting data collection and hardware integration. Build controllers and software interfaces for prototype devices, managing the data generated by them. Enhance web-based command-and-control tools used to operate and monitor the data collection environment. Improve the efficiency, accuracy and reliability of data collection workflows. Work with audio, video, motion sensor and other types of measurement data. Develop and maintain data validation, processing and post-processing tools. Deploy, test and evaluate updates to a distributed data collection platform. Build monitoring tools to track system health, identify issues and improve reliability. Troubleshoot on-site technical issues, investigate root causes and implement robust solutions. Collaborate with engineers and technical researchers to prioritise work, estimate effort and deliver maintainable software. Contribute to engineering standards, documentation and best practices across the wider team. What We’re Looking For Essential experience A degree in Computer Science or a related discipline, or equivalent practical experience. At least 3 years of professional software development experience. Strong Python programming skills, ideally gained within large or complex software projects. Solid experience with Linux and shell scripting. Experience maintaining, troubleshooting and improving networked systems. Understanding of distributed systems, RESTful APIs and concurrent programming. Experience with FastAPI or a comparable Python backend framework. Working knowledge of time synchronisation across systems and devices. A practical, methodical approach to debugging, testing and resolving technical issues. Desirable experience Integrating software with hardware devices, multimedia sensors or experimental equipment. Familiarity with audio, image and video formats. Experience with relational databases and/or NoSQL or graph databases. Knowledge of software and hardware testing frameworks and methodologies. Experience with React or similar JavaScript frontend frameworks. Windows systems administration experience. Exposure to data validation pipelines, scientific data collection or research environments. Why Consider This Contract? Technically varied work: Combine Python development, backend engineering, hardware integration and data processing. Complex engineering challenges: Work with distributed systems and prototype devices in a specialist technical environment. Collaborative team: Partner with software engineers, technical specialists and researchers across disciplines. Meaningful impact: Help build the reliable systems that enable advanced research and experimentation.

Radiant is redefining how AI infrastructure is built. We design and operate AI-native infrastructure platforms engineered for sovereignty, performance, and scale — powering GPU-native workloads, multi-tenant control planes, and high-performance AI systems for the most demanding environments. We are building purpose-built AI infrastructure from powered land, to compute, to software. As we scale our operations and deploy capital into the next generation of AI infrastructure, we are looking to expand our product team with leaders who can combine technical strength with execution excellence and are driven to build. Radiant was established by Brookfield, a leading global alternative asset manager with over US$1 trillion of assets under management across real estate, infrastructure, renewable power and transition, private equity and credit. Brookfield's global relationships, investment expertise and access to long-term institutional capital provide Radiant with a differentiated platform from which to develop, finance and operate AI infrastructure assets. This combination of entrepreneurial execution and institutional sponsorship enables Radiant to pursue large-scale GPU and AI infrastructure opportunities globally. Job Summary: As a Senior Product Manager - Operations, you will own the strategy, roadmap, and delivery of Radiant’s internal tooling and integrations, helping teams operate and scale the cloud platform efficiently. You’ll work across CMDB, asset and service inventory, internal APIs, workflow automation, third-party integrations, and platform administration, partnering closely with engineering, SRE, infrastructure, networking, security, and operations. This is a highly technical product role focused on reducing operational friction, improving self-service, and creating reliable, scalable internal systems.   Key Responsibilities: Own the strategy, roadmap, and delivery of internal tooling, CMDB, service catalogues, operational workflows, and integrations. Translate business and operational needs into clear product requirements, specs, user stories, data models, and priorities. Partner with engineering to define solutions across APIs, integrations, automation, and platform tooling. Work with SRE, infrastructure, security, support, and other internal users to identify pain points and improve automation and self-service. Establish reliable sources of truth for infrastructure, services, customers, environments, ownership, and configuration. Drive prioritisation, backlog management, technical design discussions, delivery, and adoption. Define success metrics and ensure tooling is secure, observable, auditable, reliable, and well documented. Evaluate build vs. buy decisions and third-party tooling where appropriate. Qualifications: Experience owning technical products, internal platforms, developer tooling, or infrastructure products end-to-end. Experience working across data centre operations, hardware lifecycle and inventory, infrastructure support, field operations, or adjacent operational environments. Strong technical fluency across: APIs & integrations: REST, gRPC, webhooks, third-party APIs Infrastructure: Kubernetes, cloud platforms, containers, infrastructure-as-code Data & CMDB: relational modelling, inventory, ownership, dependency mapping Automation: queues, schedulers, workflow engines, event-driven systems Observability & security: logging, metrics, tracing, IAM, RBAC, audit logging Familiarity with tools such as NetBox, ServiceNow, Terraform, Grafana, Jira, or similar. Strong understanding of distributed systems concepts including retries, idempotency, eventual consistency, and failure handling. Strong prioritisation, communication, and stakeholder management skills. Comfortable working closely with engineers and making informed technical trade-offs without needing to be the primary implementer. Comfortable operating in a fast-paced environment and taking ambiguous problems from discovery through to delivery. What you bring: Systems thinking: Understand how infrastructure, services, data, and operational workflows fit together. Product thinking: Treat internal teams as customers and focus on measurable outcomes. Technical fluency: Able to work credibly across APIs, integrations, infrastructure, data, and architecture. Prioritisation: Balance operational pain, strategic value, technical complexity, and business impact. Ownership: Drive ambiguous problems from discovery and definition through to adoption and iteration.

Role 1: Operations (priority) ? Confirmation of Assignment Principal Product Manager - Operations, Radiant Role title Principal Product Manager, Operations (advertised on Ashby as Senior/Principal; you're hiring at principal level, not senior) Number of vacancies 1 • Top priority of the three roles (Ops, then Storage, then MLOps) Agreed date to review first CV shortlist To confirm: Could we lock in a call to review the first shortlist across all three roles? I'd suggest Thursday 5 November 2026 at 10:00 GMT, then a weekly or fortnightly catch-up with Sofi, Joao and me. Location UK or EU, no further east than GMT+2 • Not France or Italy • To confirm: Is there a London office, and is that the base for UK hires? WFH policy To confirm: Is the role fully remote, or do you expect office days? Relocation To confirm: Would you support relocation into the UK, or should we stick to people already in the UK or EU? Right to work We check and verify before submitting anyone • To confirm: Can you sponsor UK visas, and how do you employ people in EU countries (own entity or employer of record)? About Radiant AI infrastructure company running dense, large-scale GPU and CPU compute, including the latest NVIDIA architectures, for AI training, deployment and scaling. Product is moving from generalist PMs to a vertical model where each PM owns a dedicated engineering track. Startup pace, with speed favoured over structure. Role responsibilities Owns the hardware and infrastructure lifecycle: what happens from new kit arriving in a DC to it running in the platform • Coordinates across support, customer, DC ops and platform teams • Owns strategy, roadmap and delivery for internal tooling, CMDB, service catalogues, operational workflows and third-party tool connections • Sets up reliable sources of truth for infrastructure, services, customers, environments, ownership and configuration • Works with SRE, infrastructure, security and support to cut operational friction and improve self-service • Build vs buy calls on third-party tooling Team structure Owns a dedicated engineering track under the new vertical PM model • Works right alongside engineers and is expected to challenge architecture and understand how things are built Reporting lines Reports to the CPO • Long-term path to Group PM for the function • To confirm: Is the CPO Sofi, and who are the key engineering peers for this track? Essential skills & experience Subject matter expert in hardware and infrastructure lifecycle, not a generalist PM • Strongly technical, ideally an engineering background (easier to coach PM skills than technical depth) • Experience coordinating across support, customer, DC ops and platform teams • Background in an organisation running significant on-prem infrastructure: hyperscalers, hedge funds, London Metal Exchange or similar • Technical fluency across APIs, Kubernetes and cloud, inventory and dependency data, automation, observability and security • Principal level: too senior or detached from hands-on work won't fit (e.g. an SVP at Amazon) • Actively enjoys ambiguity and speed rather than tolerating it Desirable skills & experience AI-specific experience not required • NetBox, ServiceNow, Terraform, Grafana, Jira or similar • Distributed systems concepts (retries, idempotency, eventual consistency, failure handling) • Open to people who've stepped back from a Head or Lead role to build a function from scratch • Red flags: more than one job lasting under a year, no technical background, too far removed from hands-on technical work Salary Base from £100,000 at principal level • Total package into the £200,000 range including bonus and backdated equity • Flexible for the right profile: find the person first, then make it work • To confirm: Is the bonus 30% of base? Benefits 25 days annual leave • Dedicated learning time • Private medical insurance via Bupa • Cycle to work scheme • Gympass subscription • Company shares programme • Enhanced parental pay and leave Sell of the role Build a function from scratch at principal level, with a route to Group PM • Own a dedicated engineering track in a new vertical product model • Engineering depth is valued more than PM credentials, so technical people get real weight here • Product ownership over some of the most advanced GPU infrastructure running anywhere • Package into the £200k range with backdated equity, and flexibility for the right person Bespoke interview screening questions Our pre-screen will focus on: Hands-on hardware and infrastructure lifecycle experience, walked through in detail (two candidates have already failed for not being technical enough) • Engineering background and ability to challenge architecture • Coordinating support, customer, DC ops and platform teams • Time in on-prem-heavy environments • Real appetite for startup ambiguity and speed • Job history, checking for more than one move under a year Interview process 1. People screen • 2. One-hour interview with Joao on culture and technical depth (first gate) • 3. One-hour technical interview with one product and one engineering interviewer • 4. Final with the CTO and CCO • To confirm: How long are stages 1 and 4, are any in person, and what's the target end-to-end timeframe? Submission process Via Ashby, with Adam Whitehurst added to the role • Shared Slack channel between Radiant, Trust in SODA and Trinnovo as the main channel for candidate updates • To confirm: What feedback turnaround can we expect on CVs and after each stage? Recruitment activity Two candidates have already failed for not being technical enough • We'll search hyperscalers, hedge funds, exchanges and other on-prem-heavy businesses, prioritising engineers who've moved into product • To confirm: How long has the role been open, and which channels have you tried? Start date To confirm: Ideal start date and the longest notice period you'd accept? Terms and partnership type agreed To confirm: Could you confirm the terms we're working on for these three roles?

Lead Platform Engineer, Agentic AI   Location: London (4 days in office, 1 day working from home)   About the Company A fast-growing AI company is building an AI system of action for the UK property sector. The platform sits on top of existing CRM systems and runs the operational work: prospecting, viewings, maintenance, compliance and arrears. Much of this runs through an AI voice agent that answers the phone when a branch can’t. The product is built on agentic pipelines, and the engineering team works alongside Claude Code and AI agents every day.   The Role We are looking for a Lead Platform Engineer to own the build across the stack, reporting to the Head of Engineering. You’ll be a great engineer first: the person who builds the hardest things and sets the technical standard, while leading a small team and raising the bar on how the company builds with AI.   What You’ll Do Architect, design and build scalable backend systems and APIs, from architecture through to production Design and maintain microservice and event-driven architectures supporting real-time operational workflows Lead a small team of engineers: drive delivery, review work and be accountable for what ships Set the standard for building with agentic AI, from Claude Code workflows to team-wide patterns Shape technical strategy with the Head of Engineering, including what not to build yet Keep systems and data pipelines secure, performant and reliable as the product scales Get close to the product and the workflows being automated   What We’re Looking For 5-8+ years of hands-on software engineering, ideally in AI, SaaS or automation platforms Already a lead engineer, or very close to it, with ownership of technical direction and delivery on real projects Deep expertise in Node.js and NestJS, with strong REST API and microservice experience Real experience building with LLMs and agents, and an understanding of what breaks in agentic pipelines at scale Daily use of Claude Code and agentic workflows as standard practice Startup background, or standout performance at a top firm, with the ability to make the right call without a committee Ability to lead engineers while still being the strongest builder in the room A strong degree in Computer Science, Engineering, Maths or a related field Next.js and frontend experience is a plus Right to work in the UK   Tech Stack NestJS | Node.js | Next.js | Microservices | Google Cloud | Kubernetes | Postgres | MongoDB | Qdrant | Claude Code | Agentic AI   Why Join? You’ll have real technical ownership from day one, direct access to the founders, and the chance to build an agent-first platform from the ground up. Equity is available and discussed during the process. Within 12 months, you’ll have helped scale the systems, and the team, across the UK market.   This is a from-scratch environment where the standard is set by who shows up. It isn’t for those who want a 9-5 in a large firm, a pure management track, or who treat AI tools as optional.   Interested? Apply now or get in touch to find out more.